Abstract
We postulate that a distribution is pseudorandom if it cannot be told apart from the uniform distribution by any efficient procedure. This yields a robust definition of pseudorandom generators as efficient deterministic programs stretching short random seeds into longer pseudorandom sequences. Thus, pseudorandom generators can be used to reduce the randomness-complexity in any efficient procedure. Pseudorandom generators and computational difficulty are closely related: loosely speaking, each can be efficiently transformed into the other.
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Goldreich, O. (2000). Pseudorandomness. In: Montanari, U., Rolim, J.D.P., Welzl, E. (eds) Automata, Languages and Programming. ICALP 2000. Lecture Notes in Computer Science, vol 1853. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45022-X_58
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DOI: https://doi.org/10.1007/3-540-45022-X_58
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